Average Performance Ratio Research Articles

Comparative analysis of grid-connected bifacial and standard mono-facial photovoltaic solar systems

This paper describes the design of a solar photovoltaic (PV) system using simulation of PVsyst software. This work involves the simulation of bifacial and mono-facial PV solar in a large-scale solar system. For a bifacial system, the yearly total energy to the grid is 1699.6 MWh, with an average of 4.57 kWh/kWp/day. For a mono-facial system, the total energy to the grid over the year is 1645.3 MWh, with an average of 4.05 kWh/kWp/day. The average collection losses obtained for bifacial and mono-facial modules were 0.33 kWh/kWp/day and 0.82 kWh/kWp/day, respectively, with system losses of 0.15 kWh/kWp/day (bifacial) and 0.18 kWh/kWp/day (mono-facial). The average performance ratio for bifacial and mono-facial was 0.904 and 0.801, respectively. The bifacial PV system was able to generate profit in terms of Return on investment (ROI), around 357%, and reach a breakeven around 7 years. The payback period for a mono-facial PV system was around 8.1 years, with an ROI of 290.4%. This work mainly focuses on a comparative analysis of bifacial and mono-facial photovoltaics, emphasizing the effectiveness and the implementation suitability of bifacial photovoltaics over mono-facial PV solar systems.

Comparative analysis of grid-connected bifacial and standard mono-facial photovoltaic solar systems

This paper describes the design of a solar photovoltaic (PV) system using simulation of PVsyst software. This work involves the simulation of bifacial and mono-facial PV solar in a large-scale solar system. For a bifacial system, the yearly total energy to the grid is 1699.6 MWh, with an average of 4.57 kWh/kWp/day. For a mono-facial system, the total energy to the grid over the year is 1645.3 MWh, with an average of 4.05 kWh/kWp/day. The average collection losses obtained for bifacial and mono-facial modules were 0.33 kWh/kWp/day and 0.82 kWh/kWp/day, respectively, with system losses of 0.15 kWh/kWp/day (bifacial) and 0.18 kWh/kWp/day (mono-facial). The average performance ratio for bifacial and mono-facial was 0.904 and 0.801, respectively. The bifacial PV system was able to generate profit in terms of Return on investment (ROI), around 357%, and reach a breakeven around 7 years. The payback period for a mono-facial PV system was around 8.1 years, with an ROI of 290.4%. This work mainly focuses on a comparative analysis of bifacial and mono-facial photovoltaics, emphasizing the effectiveness and the implementation suitability of bifacial photovoltaics over mono-facial PV solar systems.

Modeling, Simulation, and Experimental Analysis of a Photovoltaic and Biogas Hybrid Renewable Energy System for Electrification of Rural Community

This research is a numerical study, with simulation and experimental investigation of a novel photovoltaic and biogas hybrid renewable energy system. PVSYST simulation software is used to evaluate the energy generation of photovoltaic (PV) systems installed at optimum tilt angle and interrow spacing, as well as measure the performance ratio and system losses. The results obtained from simulations show that annual energy production from designed PV system is 16 654.80 kWh year−1 and its annual specific energy production is 1556.5 kWh kWp year−1. The average annual performance ratio is about 84.3%, normalized array production is 3.23 kWh kWp day−1, normalized system losses are 0.07 kWh kWp day−1, and normalized system production is 3.16 kWh kWp day−1. With SuperPro Designer software, a model is developed for simulating anaerobic digestion for treating animal manure to produce biogas. The simulation yields 88.13% of CH4 and 6.49% of CO2. The performance of the installed experimental setup is examined for 30 d. The maximum load demand of all houses is 46.902 kWh, whereas maximum energy produced by a hybrid PV/biogas system is 61.06 kWh. The payback period for a hybrid photovoltaic/biogas system is estimated to be 4.47 years and levelized cost of energy is 0.0186 USD kWh−1. The hybrid PV/biogas system results in net CO2 mitigation of 20.45 tCO2(e).

Case Study on Power Generation from Agrivoltaic System in India

This study evaluates the performance of a 7.2 kWp SPV power plant that was installed in the field of the REE department of the College of Agriculture Engineering and Technology, JAU, Junagadh (21.5 N, 70.1 E). According to the International Energy Agency (IEA), the SPV power plant's performance was evaluated. The power plant was properly observed for whole year. Average system efficiency, capacity factor, and overall performance ratio were found to be 80.83%, 16.03%, and 12.07% respectively during the experiment. Total 10104.77 kWh were produced during the experimental period. The performance of this Agrivoltaic system is produce equivalent solar power as it is from PV systems installed.

Performance analysis of 600 kWp grid-tied rooftop solar photovoltaic systems at strathmore university in Kenya

Kenya boasts of abundant solar irradiation potential across its expansive regions, averaging between 4.5 kWh/m2 and 6 kWh/m2 per day. Despite this advantageous condition, solar energy's contribution to the national energy mix remains relatively low. To boost solar energy contribution to the national grid, it is crucial to assess the performance of existing grid-tied solar PV systems and develop strategies to improve their energy yields and further help in designing and installing new plants. This paper presents a technical performance analysis of a 600-kWp grid-tied solar PV system at Strathmore University, monitored over one year between January and December 2019. Economic and thermographic analysis of the solar PV system is done. The performance indices studied according to IEC 61724 standard include performance ratio, capacity utilization factor, reference yield, final yield, total collection losses, and total energy yield. This solar plant generated 735 MWh in 2019. The annual average monthly performance ratio, capacity factor, and annual specific energy yield were 57.4%, 13.97%, and 1225 kWh/kWp, respectively. The annual average monthly final yield, array yield, reference yield, and total system collection losses were 3.37 kWh/kWp, 4.49 kWh/kWp, 5.9 kWh/kWp, and 2.53 kWh/kWp, respectively. The thermographic analysis done shows that the system exhibits healthy temperature distribution. The economic analysis demonstrated Levelized Cost of Energy (LCOE) and simple payback period of US$ 0.143/kWh and 9.1 years respectively. The study reveals that the Strathmore system's performance is similar to other solar plants worldwide.

Long-term performance of grid-integrated solar photovoltaic system on institutional buildings in tropical wet and dry climates of India - a practical study.

This study presents a long-term performance analysis of a one-mega-watt power grid-connected PV plant installed on the rooftop of GITAM University,Visakhapatnam,Andhra Pradesh, India for 3 years. The 1000 kWp PV plant design, performance analysis, economic feasibility, and greenhouse gas reduction are provided. For 3 consecutive years (2018-2019, 2019-2020 and 2020-2021), the energy yields, performance ratio (PR), capacity utilisation factor (CUF) and efficiency are evaluated. The plant was established in 2018 with a peak power of 1000 kWp. The system feeds the state grid with all of the electricity it produces. The system is continuously monitored and analysed using yield, efficiency and performance parameters for 36 months (September 2018 to August 2021). Solar irradiation data has been collected from the National Renewable Energy Laboratory (NREL) database for these years. The system comprises 3078 PV modules, 23 inverters rating 20 kW/50 kW, a data logger and a Net-metering unit. The annual energy generation of the PV plant recorded during the study period is 1376.29 MWh, 1265.541 MWh and 1115.73 MWh. The annual average performance ratio for the first three consecutive years is observed as 0.68, 0.62 and 0.58, whereas the yearly average capacity factors are 15.5%, 14.11% and 12.72%, respectively. The overall system efficiency of the PV system during the study period is 11.39%. Compared to the country's current conventional thermal power plants, we predict that rooftop PV systems may reduce CO2 emissions by 2145.406 tCO2eq for the base year, based on the electricity produced by this PV plant. The grid-integrated photovoltaic plant in this study is compared to other systems in the literature for performance assessment.

A domestic rooftop PV system: a step towards retrofitting the built environment to combat climate change in Bahrain

This article assesses the technological, economic, and environmental aspects of installing the first 7.8 kW PV installation on a rooftop of a domestic house in Bahrain for a period of 2 years (20th March 2018 to 31st March 2020). The maximum solar electricity generated was 1,228.9 kWh (August 2018), and the least was 728.16 kWh (December 2019). The maximum daily specific yield (SY) was 6.12 kWh/kWp (on 14 April 2019). The annual average daily specific yield for this domestic building was 4.13 kWh/kWp. The average performance ratio (PR) of the PV system was 73.0% in 2019. The self-sufficiency (SS) of this installation was found to vary from 15.3% to 50.7%. The average SS value in 2018 was 22.8%, while in 2019 it was 28.6%. Furthermore, a cubic relation correlation was established, relating the month number (X) and the monthly average of the daily specific yield (Y). It was found that installing a solar PV system will cut about 39.0% of CO2 annually, which is equal to 4.637 tons and hence saves 38,567 ft3 of natural gas. The initiative of encouraging the use of rooftops in Bahrain to produce zero-carbon electricity is a step towards retrofitting the built environment to combat climate change.

Technical modelling of solar photovoltaic water pumping system and evaluation of system performance and their socio-economic impact

Water is a precious resource for agriculture and most of the land is irrigated by tube wells. Diesel engines and electricity-operated pumps are widely used to fulfill irrigation water requirements; such conventional systems are inefficient and costly. With rising concerns about global warming, it is important to choose renewable energy source. In this study, SPVWPS has been optimally designed considering the water requirement, solar resources, tilt angle and orientation, losses in both systems and performance ratio. A PVSyst and SoSiT simulation tools were used to perform simulation analysis of the designed solar photovoltaic WPS. After designing and performance analysis, farmers were interviewed during fieldwork to assess socioeconomic impacts. In the result section, performance of PV system is analyzed at various tilt angles and it is established that system installed at a 15° tilt angle is more efficient. The annual PV array virtual energy at MPP of designed photovoltaic system is 33342 kWh and the annual energy available to operate the WPS is 23502 kWh. Module array mismatch and ohmic wiring losses are 374.16 kWh and 298.83 kWh, respectively. The total annual water demand of the selected site is 80769 m³ and designed SPWPS pumped 75054 m³ of water, supplying 92.93% of the irrigation demand. The normalized values of the effective energy, system losses, collection losses and unused energy in the SPVWP system are 2.6 kW/kWp/day, 0.69 kW/kWp/day, 0.72 kW/kWp/day and 0.48 kW/kWp/day, respectively. The annual average performance ratio of the proposed system is 74.62%. The results of the interviews showed that 70% of farmers are extremely satisfied with the performance of SPVWPS and 84% of farmers indicated that they did not incur any operating costs. The unit cost of the SPWPS is 0.17 €/kWh, which is 56.41% and 19.04% less expensive than the cost of diesel and grid electricity.

An experimental comparative analysis of different PV technologies performance including the influence of hot-arid climatic parameters: Toward a realistic yield assessment for desert locations

In this study, a one-year experiment has been conducted to evaluate the performances of two different photovoltaic technologies: Polycrystalline (pc-Si) and cadmium telluride (CdTe) under a hot desert climate in Mid-south Morocco. For this reason, two PV modules (from each technology) have been exposed and all electrical parameters were monitored for performance comparison. Also, for a realistic comparison, the impact of the climatic parameters, mainly soiling and temperature were taken into consideration. Results show that both technologies have a good performance with a daily Performance Ratio (PR) close to 1 for the pc-Si and around 0.9 for CdTe, but with superiority of 3.5% to the pc-Si technology. The peak daily energy yields are of 7.51 kWh/kWp and 6.99 kWh/kWp for pc-Si and CdTe respectively, with 7% high production for the pc-Si. Nevertheless, the CdTe is less affected by temperature, where the average PR deviation (between the technologies) is 4.37% for temperature values less than 25 °C and 2.35% for temperatures above 25 °C in favor of the CdTe. Regarding soiling, the CdTe shows high performance in comparison to the pc-Si where the daily Soiling Rate reaches 24.6% and 26.9% for both technologies respectively, which causes a drop in the electricity production of 25.5% for the pc-Si and 23.2% for CdTe technology.

The performance of four domestic rooftop 7.8 kW − PV in the Kingdom of Bahrain: toward low building emission

This paper reports the performance of four domestic houses at different locations in Bahrain, each have 7.8 kW of PV on the roof, and all panels are tilted at 12°, but the azimuth of the panels (orientation) in these houses varies slightly from south (±10°); depending on roof space availability and building surroundings. The data of year 2019 have been used because all these domestic houses were monitored, maintained, and cleaned by an assigned company from the government. The annual solar electricity generated was 11,329 kWh, 11,448 kWh, 10,978 kWh, and 9995 kWh for houses # 4, # 2, #1, and # 3, respectively. The annual Specific Yield (SY) obtained was 1468 kWh/kW, 1452 kWh/kW, 1407 kWh/kW and 1254 kWh/kW for houses # 2, #4, # 1, and # 3, respectively; this makes the daily average SY equals to 4.02 kWh/kW, 3.98 kWh/kW, 3.85 kWh/kW, and 3.43 kWh/kW, respectively. The average performance ratio (PR) of each PV system were found to range from 75.1% to 65.6%. The PV system performs better in house #4 due to its azimuth PV panels' angle (orientation) which is closest to the south direction. A polynomial equation is established, relating the month number (X) and the monthly average of monthly solar electricity generated as well as the monthly specific yield (Y). This work shows that installing a 7.8 kWp of PV on the roof of all residential building in Bahrain will reduce the total CO2 emission in Bahrain by 39.0% (4.637 tons) per year, saving 38,567 ft3 of natural gas. This is a step towards low-carbon building; in an attempt to make Bahrain a zero carbon by 2060.

Application of 30 MWp grid-connected solar photovoltaic power plant for Djibouti Vision 2035

Nowadays, like most of African countries, Djibouti is facing challenging energy access. The country was suffering a shortage of electricity for a long period until the government of Djibouti signed an agreement with the Ethiopia electric power cooperation (EEPCO) company in 2011. Thereby, the electricity consumption of the country is mainly from imported fossil fuels and the interconnection project. In order to realize Djibouti Vision 2035, the Republic of Djibouti signed an agreement with an Emirati company (AMEA) to build the first solar photovoltaic power plant in Grand Bara. In this paper, sizing, and simulation of the 30 MWp grid-connected solar photovoltaic power plant will be done using PVsyst 7.2 software. A 400 W bifacial monocrystalline panel and 160 kW string inverters are used in this study. The simulation results from PVsyst software are to acquire the system production, the performance ratio, and the various power losses such as losses due to irradiance level. The average global horizontal irradiance of the site is 2317.2 kWh/m 2 while the average ambient temperature is 25.75° C. About 59.6 GWh of electricity power is injected into the grid with an average performance ratio of 83.21% in the year. This study is an example in terms of solar energy application in Africa and also its contributions to the socio-economic development of African countries will be observed in the near future.

Techno-Economic Optimization of an Off-Grid Hybrid Power Generation for SRM IST, Delhi-NCR Campus

The limited availability of fossil fuels such as coal and increasing air pollution levels due to the burning of coal have pushed the trend of generating electricity from fossil fuels to generating it from locally available renewable resources. It is expected that the cost of electricity will decrease when locally available renewable resources are used. In this paper, it was proposed to commission a solar PV system in a part of an academic building of SRM IST University. The present study is an effort in-line with many initiatives taken up by the Indian Government. The performance index of solar PV system was analyzed. Supporting data were obtained from the NASA PDAV tool and then techno-economical analysis was carried out on HOMER. The average performance ratio and capacity factor of the solar PV system were obtained as 64.49% and 14.90%, respectively. For the optimal configuration, the net present cost and the levelized cost of electricity are $639,981 and $0.34 per kWh, respectively. As per the estimation, there will be no air pollution due to the proposed configuration, whereas if only a diesel generator is commissioned, then 200,417 kg of carbon dioxide will be emitted annually.

Performance analysis and modelling of a 50 MW grid-connected photovoltaic plant in Spain after 12 years of operation

This study aims to estimate the performance and losses of a 50 MW photovoltaic (PV) utility-scale after 12 years of operation. The PV plant has monocrystalline and polycrystalline silicon modules and is located in the central region of Spain with an annual insolation of 1976 kWh/m2. Monitoring data over the entire year 2020 has been analyzed and filtered to assess the performance results following the IEC 61724 standard guidelines. The annual average reference yield, final yield, performance ratio and capacity utilization factor are of 5.44 h/d, 4.28 h/d, 79.24%, and 19.77%, respectively. Besides the experimental analysis, this work improves the estimation of the daily performance ratio, especially in days with low insolation. Two different modelling approaches have been assessed and compared. In first place, a physical model has been adopted, based on the most common losses, and including an exponential expression to account for low irradiance losses. In second place, statistical models have been used, with either multiple linear regressions or random forest algorithms. In contrast with other published models which require many inputs, the best accuracy has been reached with the random forest model using only the ambient temperature and solar irradiance as predictors, obtaining a RMSE of 1% for the PR and for the energy production.

Intra-frame Based Video Compression Using Deep Convolutional Neural Network (DCNN)

In principle, a video codec is built by implementing various algorithms and their development. The next generation of codecs involves more artificial intelligence applications and their development. DCNN (Deep Convolutional Neural Network) is a multi-layer NN concept with a deep learning approach in the field of artificial intelligence development. This study has proposed a DCNN with three hidden layers for intra-frame-based video compression. DCT and fractal methods were used to compare the performance of the proposed method. The training image (obtained from the average of all down-sampled frames) is divided into several square blocks using the square block shift operation until all parts of the image are fulfilled. All pixels in each block act as input data patterns. After the training process, the trained proposed DCNN was then used to construct the feature and sub-feature image obtained through the max function operation in the feature bank and sub-feature bank. These feature and sub-feature images were then a spatial redundancy minimizer with specific manipulation techniques and simultaneously a quantizer without converting the frame's pixels to a bit-stream. The result of this process is a compressed image. Experiments on the entire dataset resulted in AAPR (Average Approximate Performance Ratio) of 147.71%, or an average of 1.5 times better than other methods. For further studies, the performance improvement of the proposed DCNN is performed by modifying its structure so that the output is direct in the form of feature and sub-feature images. Another way is to combine it with the DCT or fractal method to improve the performance of the result.

Contribution of a photovoltaic solar system to the energetic sustainability of a Portuguese WWTP

The concerning growth of energy and water demand worldwide presents two major issues that can both be tackled by using renewable energy sources to oppose the energy consumption of wastewater treatment plants (WWTP), while taking advantage of their energy production potentialities. This work deals with the sizing of a photovoltaic system of a mediumsized Portuguese WWTP designed to meet the energy consumption needs, benefitting from the higher levels of irradiance in the country. The goal is to act as a model for future similar projects. The potentiality of producing electricity through cogeneration of biogas, in WWTP’s of activated sludge, needs to be taken into account. In the study case, 70% of the energy consumption needs were covered via cogeneration. This led to the conception of two different scenarios concerning the PV System: the first one covers the total electric needs of the WWTP and the other covers 30%, taking into account that the cogeneration system ensures 70%. During the 25 year-life of the PV System, an average annual performance ratio of 0.805 for scenario 1 and 0.789 for scenario 2 was achieved. Furthermore, the average energy contribution of scenario 1 and 2 was 36.5% and 32.8%, respectively, ensuring 100% of self-sufficiency, when adding the cogeneration contribution.

Performance evaluation of grid-connected silicon-based PV systems integrated into institutional buildings: An experimental and simulation comparative study

Renewable energy sources (RES) have been proclaimed to be a sustainable substitute for conventional fossil fuels, which has led several countries to transition to cleaner energy technologies. This transition enables countries to simultaneously support their populations’ escalating electricity demand while alleviating environmental issues. Following a similar trend, Morocco has been putting more emphasis on RES, especially solar energy, in an effort to reduce its dependance on fossil fuels and electricity imports. In this vision, the present study measured, modeled, evaluated, and compared the performance of three silicon-based grid-connected photovoltaic systems under the climatic conditions of El Jadida, Morocco. The photovoltaic panels, which are deployed in institutional buildings, are based on monocrystalline silicon, polycrystalline silicon, and micromorph tandem technologies. The developed models of the deployed grid-connected photovoltaic systems were validated using experimental data measured over a short-run period (relative error under 5%). Additionally, the performance of the grid-connected photovoltaic systems was evaluated experimentally over a long-run period through several key performance indicators (mainly final yield, performance ratio, and capacity factor). Findings show that under Mediterranean climates, the polycrystalline silicon and monocrystalline silicon grid-connected photovoltaic systems (average final yield, performance ratio, and capacity factor reaching 4.98 kWh/kWp.d, 80.73%, and 20.76%, respectively) outperform the micromorph tandem grid-connected photovoltaic system (4.65 kWh/kWp.d, 75.15%, and 19.38%, respectively).

Machine Learning-Based Relative Performance Analysis of Monocrystalline and Polycrystalline Grid-Tied PV Systems

In this research study, the design and performance evaluation of grid-tied photovoltaic systems has been carried out through experimentation, HelioScope simulation, and black-box machine learning methods for data-driven artificial intelligence system performance assessment and validation. The proposed systems are based on 15 kWp of monoperk and polyperk, which are separately installed in the industrial sector of Faisalabad, Pakistan. The experimental evaluation of the installed PV modules was performed from November 2020 to August 2021. The performance of the PV modules was evaluated by determining the annual average daily final yield (If), performance ratio (PR), and capacity factor (CF). The study showed that the annual average of daily final yield, performance ratio, and capacity factor for 15 kW polyperk was estimated to be 61.94 kWh, 84.17%, and 19.12, respectively. The annual average of daily final yield, performance ratio, and capacity factor for 15 kW monoperk was estimated to be 58.32 kWh, 81.42%, and 18.13, respectively. A comparison of final yield is obtained from simulation and real-time systems obtained from polyperk PV and monoperk. A significant mean error exists between the experimentation and simulation results which lie within the range of 1250 to 1470 kWh and 1600 to 1950 kWh, respectively. Substantial differences between both aforementioned results were initially tested and highlighted by statistical values; i.e., the standard error lies in-between 5 and 45% in polyperk crystalline and 5 and 25% in monocrystalline PV grid-connected module. Machine learning logistical regression evaluated that monoperk crystalline grid-connected system, experimental work was found to be more reliable with error difference reduces in off-peak months as compared to corresponding simulation study and vice versa for polyperk crystalline grid-connected system. Model accuracy after training and testing produced resulted up to 99.5% accuracy for either grid-connected experimentation or simulation outcomes with validation.

Experimental investigation to thermal performance of different photo voltaic modules for efficient system design

Due to rapid industrialization, and depletion of fossil fuels, alternative renewable resources are mandatory, where solar thermal energy is one of the promising alternate. In this study, an experimental investigation was conducted to analyze the thermal performance of different photovoltaic-modules under varying climate conditions. These include thin plate Copper indium diselenide, mono-crystalline silicon, micro crystalline silicone, amorphous silicon and poly-crystalline silicon. The analysis was concentrated on the evaluation of module efficiency, solar irradiance absorption rate, maximum power output, performance ratio, normalized power output efficiency and temperature effect on each module at real operational outdoor conditions. Mono-crystalline silicon module showed high average efficiency of 20.8% and average performance ratio 1.21 compared to the other PV modules. It was observed that all types of modules have higher average temperature in summer season and showed low performance ratio and low module efficiency as compared to winter season. Average normalized power out of mono-crystalline silicon 56.2% more efficient than the other modules. The increased thermal performance of mono-crystalline silicon was related with its high absorption rate and high conduction rate. Thus, mono-crystalline silicon PV module is the best potential candidate for solar capturing technique to be utilize in diverse solar thermal energy applications.

Desing and simulation of an autonomous 12.6 kW solar plant in the Algeria’s M’sila region using PVsyst software

Solar energy is an infinite, unpredictable and enduring energy source among all other incompatible energy options. This work simulates the feasibility of installing a photovoltaic (PV) system isolated with batteries in a typical residential center in M'sila, Algeria, where the study is carried out to assess solar radiation and evaluate the technical and economic aspects of the PV system to supply domestic electrical energy needs. The program has been implemented by PVsyst6. The daily electricity consumption is about 12.6 kWh/day. On an annual basis, the energy that is injected into the grid is 4615 kWh. The average performance ratio (PR) of the Si-poly PV system is operated at 62.9% in the simulated study for the planned location. The maximum electrical energy produced was from June to August, when it reached 354.4 kWh of July. The losses recorded in the study were principally due to temperature of photovoltaic field, which was 12.14%.

Drone-Aided Path Planning for Unmanned Ground Vehicle Rapid Traversing Obstacle Area

Even with visual contact equipment such as cameras, an unmanned ground vehicle (UGV) alone usually takes a lot of time to navigate an unfamiliar area with obstacles. Therefore, this study proposes a fast drone-aided path planning approach to help UGVs traverse an unfamiliar area with obstacles. In this scenario called UAV/UGV mobile collaboration (abbreviated UAGVMC), a UGV initially invokes an unmanned aerial vehicle (UAV) at the scene to take a ground image and send it back to the cloud to proceed with object detection, image recognition, and path planning (abbreviated odirpp). The cloud then sends the UGV a well-planned path map to help traverse an unfamiliar area. This approach uses the one-stage object detection and image recognition algorithm YOLOv4-CSP to quickly and accurately identify obstacles and the New Bidirectional A* (NBA*) algorithm to plan an optimal route avoiding ground objects. Experiments show that the execution time of path planning for each scene is less than 10 s on average. It does not affect the image quality of the path map. It ensures that the user can correctly interpret the path map and remotely drive the UGV rapidly, passing through that unfamiliar area with obstacles. As a result, the selected model can outperform the other alternatives significantly by average performance ratio up to 3.87 times on average.